Pandas Profiling Report

Dataset statistics

Number of variables	33
Number of observations	1048575
Missing cells	30060590
Missing cells (%)	86.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	264.0 MiB
Average record size in memory	264.0 B

Variable types

Numeric	1
Categorical	6
Text	11
Unsupported	15

Alerts

`Carrier` has constant value "Airtel"	Constant
`Unnamed: 26` has constant value "0.9"	Constant
`Unnamed: 27` has constant value "0.0"	Constant
`Unnamed: 28` has constant value "user"	Constant
`Unnamed: 32` has constant value "0.0"	Constant
`Number` is highly overall correlated with `Unnamed: 31`	High correlation
`Unnamed: 12` is highly overall correlated with `Unnamed: 31`	High correlation
`Unnamed: 31` is highly overall correlated with `Number` and 1 other fields	High correlation
`Unnamed: 12` is highly imbalanced (70.1%)	Imbalance
`Name` has 57060 (5.4%) missing values	Missing
`Gender` has 1006524 (96.0%) missing values	Missing
`JobTitle` has 1017036 (97.0%) missing values	Missing
`CompanyName` has 1033131 (98.5%) missing values	Missing
`Email` has 782691 (74.6%) missing values	Missing
`Facebook` has 1029196 (98.2%) missing values	Missing
`Twitter` has 1040714 (99.3%) missing values	Missing
`Unnamed: 10` has 1035163 (98.7%) missing values	Missing
`Unnamed: 11` has 1041161 (99.3%) missing values	Missing
`Unnamed: 12` has 1045043 (99.7%) missing values	Missing
`Unnamed: 13` has 1047413 (99.9%) missing values	Missing
`Unnamed: 14` has 1048162 (> 99.9%) missing values	Missing
`Unnamed: 15` has 1048457 (> 99.9%) missing values	Missing
`Unnamed: 16` has 1048531 (> 99.9%) missing values	Missing
`Unnamed: 17` has 1048555 (> 99.9%) missing values	Missing
`Unnamed: 18` has 1048561 (> 99.9%) missing values	Missing
`Unnamed: 19` has 1048564 (> 99.9%) missing values	Missing
`Unnamed: 20` has 1048568 (> 99.9%) missing values	Missing
`Unnamed: 21` has 1048569 (> 99.9%) missing values	Missing
`Unnamed: 22` has 1048571 (> 99.9%) missing values	Missing
`Unnamed: 23` has 1048571 (> 99.9%) missing values	Missing
`Unnamed: 24` has 1048571 (> 99.9%) missing values	Missing
`Unnamed: 25` has 1048572 (> 99.9%) missing values	Missing
`Unnamed: 26` has 1048574 (> 99.9%) missing values	Missing
`Unnamed: 27` has 1048574 (> 99.9%) missing values	Missing
`Unnamed: 28` has 1048574 (> 99.9%) missing values	Missing
`Unnamed: 29` has 1048573 (> 99.9%) missing values	Missing
`Unnamed: 30` has 1048572 (> 99.9%) missing values	Missing
`Unnamed: 31` has 1048573 (> 99.9%) missing values	Missing
`Unnamed: 32` has 1048574 (> 99.9%) missing values	Missing
`Unnamed: 31` is uniformly distributed	Uniform
`Number` has unique values	Unique
`Unnamed: 13` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 14` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 15` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 16` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 17` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 18` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 19` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 20` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 21` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 22` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 23` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 24` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 25` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 29` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 30` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2024-07-18 08:51:44.852370
Analysis finished	2024-07-18 08:52:46.006929
Duration	1 minute and 1.15 second
Software version	ydata-profiling vv4.9.0
Download configuration	config.json

Number
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	1048575
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.1758429 × 10¹¹

Minimum	9.17032 × 10¹¹
Maximum	9.1799549 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.0 MiB

Quantile statistics

Minimum	9.17032 × 10¹¹
5-th percentile	9.1703227 × 10¹¹
Q1	9.1709341 × 10¹¹
median	9.1770267 × 10¹¹
Q3	9.1789389 × 10¹¹
95-th percentile	9.1799518 × 10¹¹
Maximum	9.1799549 × 10¹¹
Range	9.6348589 × 10⁸
Interquartile range (IQR)	8.0048319 × 10⁸

Descriptive statistics

Standard deviation	3.9533173 × 10⁸
Coefficient of variation (CV)	0.00043083968
Kurtosis	-1.5734815
Mean	9.1758429 × 10¹¹
Median Absolute Deviation (MAD)	2.908676 × 10⁸
Skewness	-0.45752983
Sum	9.6215595 × 10¹⁷
Variance	1.5628717 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.170320009 × 10¹¹	1	< 0.1%
9.178934804 × 10¹¹	1	< 0.1%
9.178934804 × 10¹¹	1	< 0.1%
9.178934804 × 10¹¹	1	< 0.1%
9.178934804 × 10¹¹	1	< 0.1%
9.178934804 × 10¹¹	1	< 0.1%
9.178934804 × 10¹¹	1	< 0.1%
9.178934804 × 10¹¹	1	< 0.1%
9.178934804 × 10¹¹	1	< 0.1%
9.178934804 × 10¹¹	1	< 0.1%
Other values (1048565)	1048565	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9.170320001 × 10¹¹	1	< 0.1%
9.170320001 × 10¹¹	1	< 0.1%
9.170320001 × 10¹¹	1	< 0.1%
9.170320001 × 10¹¹	1	< 0.1%
9.170320001 × 10¹¹	1	< 0.1%
9.170320001 × 10¹¹	1	< 0.1%
9.170320001 × 10¹¹	1	< 0.1%
9.170320001 × 10¹¹	1	< 0.1%
9.170320001 × 10¹¹	1	< 0.1%
9.170320001 × 10¹¹	1	< 0.1%

Value	Count	Frequency (%)
9.17995486 × 10¹¹	1	< 0.1%
9.17995486 × 10¹¹	1	< 0.1%
9.17995486 × 10¹¹	1	< 0.1%
9.17995486 × 10¹¹	1	< 0.1%
9.17995486 × 10¹¹	1	< 0.1%
9.17995486 × 10¹¹	1	< 0.1%
9.17995486 × 10¹¹	1	< 0.1%
9.179954859 × 10¹¹	1	< 0.1%
9.179954859 × 10¹¹	1	< 0.1%
9.179954859 × 10¹¹	1	< 0.1%

Carrier
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.0 MiB

Airtel	1048575

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	6291450
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Airtel
2nd row	Airtel
3rd row	Airtel
4th row	Airtel
5th row	Airtel

Common Values

Value	Count	Frequency (%)
Airtel	1048575	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
airtel	1048575	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	1048575	16.7%
i	1048575	16.7%
r	1048575	16.7%
t	1048575	16.7%
e	1048575	16.7%
l	1048575	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5242875	83.3%
Uppercase Letter	1048575	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	1048575	20.0%
r	1048575	20.0%
t	1048575	20.0%
e	1048575	20.0%
l	1048575	20.0%

Uppercase Letter

Value	Count	Frequency (%)
A	1048575	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6291450	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	1048575	16.7%
i	1048575	16.7%
r	1048575	16.7%
t	1048575	16.7%
e	1048575	16.7%
l	1048575	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6291450	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	1048575	16.7%
i	1048575	16.7%
r	1048575	16.7%
t	1048575	16.7%
e	1048575	16.7%
l	1048575	16.7%

Name
Text

MISSING

Distinct	684244
Distinct (%)	69.0%
Missing	57060
Missing (%)	5.4%
Memory size	8.0 MiB

Length

Max length	277
Median length	105
Mean length	11.963313
Min length	1

Characters and Unicode

Total characters	11861804
Distinct characters	195
Distinct categories	17 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	629316 ?
Unique (%)	63.5%

Sample

1st row	Raj Kumar. Mncl
2nd row	Deva
3rd row	Lakshay
4th row	Prathap
5th row	Shekar Chinnu

Value	Count	Frequency (%)
reddy	25690	1.3%
kumar	25320	1.3%
k	18258	0.9%
sai	16598	0.8%
2	15981	0.8%
m	14910	0.7%
s	14868	0.7%
raju	13802	0.7%
p	13567	0.7%
b	11636	0.6%
Other values (238013)	1849843	91.6%

Most occurring characters

Value	Count	Frequency (%)
a	1908336	16.1%
	1029514	8.7%
i	733298	6.2%
n	639341	5.4%
r	604993	5.1%
h	604453	5.1%
e	514653	4.3%
u	455189	3.8%
d	357690	3.0%
s	337274	2.8%
Other values (185)	4677063	39.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8574922	72.3%
Uppercase Letter	1980919	16.7%
Space Separator	1030181	8.7%
Decimal Number	138750	1.2%
Other Punctuation	111603	0.9%
Currency Symbol	5523	< 0.1%
Dash Punctuation	5362	< 0.1%
Other Symbol	3394	< 0.1%
Math Symbol	2527	< 0.1%
Open Punctuation	1985	< 0.1%
Other values (7)	6638	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	319575	16.1%
R	188109	9.5%
M	159359	8.0%
K	154666	7.8%
A	150492	7.6%
P	135528	6.8%
B	111200	5.6%
N	106612	5.4%
V	95366	4.8%
C	75403	3.8%
Other values (57)	484609	24.5%

Lowercase Letter

Value	Count	Frequency (%)
a	1908336	22.3%
i	733298	8.6%
n	639341	7.5%
r	604993	7.1%
h	604453	7.0%
e	514653	6.0%
u	455189	5.3%
d	357690	4.2%
s	337274	3.9%
m	319181	3.7%
Other values (45)	2100514	24.5%

Other Punctuation

Value	Count	Frequency (%)
.	96377	86.4%
@	2947	2.6%
'	2184	2.0%
*	1687	1.5%
?	1163	1.0%
§	924	0.8%
&	845	0.8%
#	803	0.7%
…	680	0.6%
!	642	0.6%
Other values (11)	3351	3.0%

Decimal Number

Value	Count	Frequency (%)
2	34009	24.5%
1	23029	16.6%
3	14742	10.6%
9	12031	8.7%
7	11960	8.6%
0	11880	8.6%
4	9304	6.7%
5	7774	5.6%
8	7284	5.2%
6	6737	4.9%

Math Symbol

Value	Count	Frequency (%)
±	1492	59.0%
¬	696	27.5%
\|	136	5.4%
+	87	3.4%
~	79	3.1%
<	14	0.6%
=	13	0.5%
>	10	0.4%

Other Symbol

Value	Count	Frequency (%)
®	1024	30.2%
¦	741	21.8%
™	713	21.0%
№	578	17.0%
©	338	10.0%

Open Punctuation

Value	Count	Frequency (%)
‚	759	38.2%
(	630	31.7%
„	532	26.8%
{	43	2.2%
[	21	1.1%

Initial Punctuation

Value	Count	Frequency (%)
‘	646	39.6%
«	443	27.2%
“	282	17.3%
‹	259	15.9%

Final Punctuation

Value	Count	Frequency (%)
’	494	38.7%
”	309	24.2%
»	237	18.6%
›	236	18.5%

Dash Punctuation

Value	Count	Frequency (%)
-	4990	93.1%
—	197	3.7%
–	175	3.3%

Currency Symbol

Value	Count	Frequency (%)
¤	4100	74.2%
$	913	16.5%
€	510	9.2%

Close Punctuation

Value	Count	Frequency (%)
)	721	91.8%
}	44	5.6%
]	20	2.5%

Space Separator

Value	Count	Frequency (%)
	1029514	99.9%
	667	0.1%

Modifier Symbol

Value	Count	Frequency (%)
^	62	72.1%
`	24	27.9%

Control

Value	Count	Frequency (%)
	1526	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	754	100.0%

Format

Value	Count	Frequency (%)
	581	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10509756	88.6%
Common	1306248	11.0%
Cyrillic	45800	0.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1029514	78.8%
.	96377	7.4%
2	34009	2.6%
1	23029	1.8%
3	14742	1.1%
9	12031	0.9%
7	11960	0.9%
0	11880	0.9%
4	9304	0.7%
5	7774	0.6%
Other values (64)	55628	4.3%

Cyrillic

Value	Count	Frequency (%)
Г	8505	18.6%
а	5079	11.1%
џ	2861	6.2%
р	2273	5.0%
Ш	2107	4.6%
в	1901	4.2%
Е	1682	3.7%
Щ	1562	3.4%
Ґ	1352	3.0%
ё	1263	2.8%
Other values (59)	17215	37.6%

Latin

Value	Count	Frequency (%)
a	1908336	18.2%
i	733298	7.0%
n	639341	6.1%
r	604993	5.8%
h	604453	5.8%
e	514653	4.9%
u	455189	4.3%
d	357690	3.4%
s	337274	3.2%
S	319575	3.0%
Other values (42)	4034954	38.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11794310	99.4%
Cyrillic	45800	0.4%
None	13657	0.1%
Punctuation	6236	0.1%
Letterlike Symbols	1291	< 0.1%
Currency Symbols	510	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1908336	16.2%
	1029514	8.7%
i	733298	6.2%
n	639341	5.4%
r	604993	5.1%
h	604453	5.1%
e	514653	4.4%
u	455189	3.9%
d	357690	3.0%
s	337274	2.9%
Other values (83)	4609569	39.1%

Cyrillic

Value	Count	Frequency (%)
Г	8505	18.6%
а	5079	11.1%
џ	2861	6.2%
р	2273	5.0%
Ш	2107	4.6%
в	1901	4.2%
Е	1682	3.7%
Щ	1562	3.4%
Ґ	1352	3.0%
ё	1263	2.8%
Other values (59)	17215	37.6%

None

Value	Count	Frequency (%)
¤	4100	30.0%
	1526	11.2%
±	1492	10.9%
®	1024	7.5%
§	924	6.8%
¦	741	5.4%
¬	696	5.1%
	667	4.9%
	581	4.3%
«	443	3.2%
Other values (5)	1463	10.7%

Punctuation

Value	Count	Frequency (%)
‚	759	12.2%
…	680	10.9%
‘	646	10.4%
‡	539	8.6%
„	532	8.5%
•	524	8.4%
’	494	7.9%
†	478	7.7%
”	309	5.0%
“	282	4.5%
Other values (5)	993	15.9%

Letterlike Symbols

Value	Count	Frequency (%)
™	713	55.2%
№	578	44.8%

Currency Symbols

Value	Count	Frequency (%)
€	510	100.0%

Gender
Text

MISSING

Distinct	2005
Distinct (%)	4.8%
Missing	1006524
Missing (%)	96.0%
Memory size	8.0 MiB

Length

Max length	57
Median length	4
Mean length	4.4158522
Min length	1

Characters and Unicode

Total characters	185691
Distinct characters	132
Distinct categories	15 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1806 ?
Unique (%)	4.3%

Sample

1st row	MALE
2nd row	MALE
3rd row	MALE
4th row	FEMALE
5th row	MALE

Value	Count	Frequency (%)
male	32674	76.4%
female	6082	14.2%
v	153	0.4%
2	139	0.3%
i	75	0.2%
m	75	0.2%
p	72	0.2%
s	70	0.2%
k	62	0.1%
r	57	0.1%
Other values (1983)	3301	7.7%

Most occurring characters

Value	Count	Frequency (%)
E	44863	24.2%
M	38985	21.0%
A	38901	20.9%
L	38812	20.9%
F	6126	3.3%
	2544	1.4%
a	2362	1.3%
r	1014	0.5%
n	800	0.4%
i	788	0.4%
Other values (122)	10496	5.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	169701	91.4%
Lowercase Letter	12231	6.6%
Space Separator	2547	1.4%
Decimal Number	703	0.4%
Other Punctuation	417	0.2%
Dash Punctuation	27	< 0.1%
Other Symbol	17	< 0.1%
Currency Symbol	16	< 0.1%
Initial Punctuation	11	< 0.1%
Open Punctuation	6	< 0.1%
Other values (5)	15	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	44863	26.4%
M	38985	23.0%
A	38901	22.9%
L	38812	22.9%
F	6126	3.6%
S	227	0.1%
V	210	0.1%
R	176	0.1%
B	165	0.1%
P	162	0.1%
Other values (34)	1074	0.6%

Lowercase Letter

Value	Count	Frequency (%)
a	2362	19.3%
r	1014	8.3%
n	800	6.5%
i	788	6.4%
e	721	5.9%
d	596	4.9%
s	594	4.9%
u	587	4.8%
h	569	4.7%
l	519	4.2%
Other values (29)	3681	30.1%

Other Punctuation

Value	Count	Frequency (%)
.	333	79.9%
@	16	3.8%
&	13	3.1%
?	10	2.4%
*	10	2.4%
'	9	2.2%
:	8	1.9%
;	4	1.0%
§	3	0.7%
•	3	0.7%
Other values (5)	8	1.9%

Decimal Number

Value	Count	Frequency (%)
2	204	29.0%
1	119	16.9%
3	79	11.2%
0	77	11.0%
7	63	9.0%
4	46	6.5%
8	35	5.0%
5	29	4.1%
9	27	3.8%
6	24	3.4%

Other Symbol

Value	Count	Frequency (%)
©	9	52.9%
™	4	23.5%
®	2	11.8%
¦	1	5.9%
№	1	5.9%

Initial Punctuation

Value	Count	Frequency (%)
‘	8	72.7%
«	2	18.2%
“	1	9.1%

Currency Symbol

Value	Count	Frequency (%)
¤	7	43.8%
€	5	31.2%
$	4	25.0%

Open Punctuation

Value	Count	Frequency (%)
„	3	50.0%
(	2	33.3%
‚	1	16.7%

Space Separator

Value	Count	Frequency (%)
	2544	99.9%
	3	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	24	88.9%
–	3	11.1%

Math Symbol

Value	Count	Frequency (%)
¬	3	60.0%
±	2	40.0%

Control

Value	Count	Frequency (%)
	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Format

Value	Count	Frequency (%)
	2	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	181766	97.9%
Common	3760	2.0%
Cyrillic	165	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	44863	24.7%
M	38985	21.4%
A	38901	21.4%
L	38812	21.4%
F	6126	3.4%
a	2362	1.3%
r	1014	0.6%
n	800	0.4%
i	788	0.4%
e	721	0.4%
Other values (42)	8394	4.6%

Common

Value	Count	Frequency (%)
	2544	67.7%
.	333	8.9%
2	204	5.4%
1	119	3.2%
3	79	2.1%
0	77	2.0%
7	63	1.7%
4	46	1.2%
8	35	0.9%
5	29	0.8%
Other values (40)	231	6.1%

Cyrillic

Value	Count	Frequency (%)
Г	19	11.5%
џ	18	10.9%
р	15	9.1%
в	14	8.5%
а	12	7.3%
Щ	12	7.3%
Ђ	9	5.5%
Ш	8	4.8%
ў	5	3.0%
Ќ	5	3.0%
Other values (20)	48	29.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	185449	99.9%
Cyrillic	165	0.1%
None	41	< 0.1%
Punctuation	26	< 0.1%
Currency Symbols	5	< 0.1%
Letterlike Symbols	5	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	44863	24.2%
M	38985	21.0%
A	38901	21.0%
L	38812	20.9%
F	6126	3.3%
	2544	1.4%
a	2362	1.3%
r	1014	0.5%
n	800	0.4%
i	788	0.4%
Other values (65)	10254	5.5%

Cyrillic

Value	Count	Frequency (%)
Г	19	11.5%
џ	18	10.9%
р	15	9.1%
в	14	8.5%
а	12	7.3%
Щ	12	7.3%
Ђ	9	5.5%
Ш	8	4.8%
ў	5	3.0%
Ќ	5	3.0%
Other values (20)	48	29.1%

None

Value	Count	Frequency (%)
©	9	22.0%
¤	7	17.1%
	3	7.3%
§	3	7.3%
	3	7.3%
¬	3	7.3%
®	2	4.9%
«	2	4.9%
	2	4.9%
±	2	4.9%
Other values (4)	5	12.2%

Punctuation

Value	Count	Frequency (%)
‘	8	30.8%
„	3	11.5%
–	3	11.5%
•	3	11.5%
†	3	11.5%
’	2	7.7%
‚	1	3.8%
‡	1	3.8%
…	1	3.8%
“	1	3.8%

Currency Symbols

Value	Count	Frequency (%)
€	5	100.0%

Letterlike Symbols

Value	Count	Frequency (%)
™	4	80.0%
№	1	20.0%

Address
Text

Distinct	6282
Distinct (%)	0.6%
Missing	3192
Missing (%)	0.3%
Memory size	8.0 MiB

Length

Max length	101
Median length	15
Mean length	15.649854
Min length	1

Characters and Unicode

Total characters	16360091
Distinct characters	158
Distinct categories	16 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5610 ?
Unique (%)	0.5%

Sample

1st row	Andhra Pradesh
2nd row	Andhra Pradesh
3rd row	Andhra Pradesh
4th row	Andhra Pradesh
5th row	Andhra Pradesh in

Value	Count	Frequency (%)
andhra	998753	39.4%
pradesh	998753	39.4%
in	490053	19.3%
local	9411	0.4%
ahmedabad	9410	0.4%
hyderabad	6760	0.3%
visakhapatnam	799	< 0.1%
vijayawada	544	< 0.1%
guntur	458	< 0.1%
vizag	448	< 0.1%
Other values (5871)	18904	0.7%

Most occurring characters

Value	Count	Frequency (%)
a	2071118	12.7%
	2044440	12.5%
d	2036339	12.4%
r	2014374	12.3%
h	2012117	12.3%
n	1498562	9.2%
e	1021645	6.2%
A	1009549	6.2%
s	1001767	6.1%
P	999424	6.1%
Other values (148)	650756	4.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12269097	75.0%
Space Separator	2044445	12.5%
Uppercase Letter	2041322	12.5%
Decimal Number	3524	< 0.1%
Other Punctuation	924	< 0.1%
Dash Punctuation	309	< 0.1%
Open Punctuation	146	< 0.1%
Close Punctuation	128	< 0.1%
Math Symbol	45	< 0.1%
Other Symbol	39	< 0.1%
Other values (6)	112	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	1009549	49.5%
P	999424	49.0%
L	9741	0.5%
H	7381	0.4%
V	2286	0.1%
K	1637	0.1%
N	1435	0.1%
S	1151	0.1%
B	1063	0.1%
M	1015	< 0.1%
Other values (39)	6640	0.3%

Lowercase Letter

Value	Count	Frequency (%)
a	2071118	16.9%
d	2036339	16.6%
r	2014374	16.4%
h	2012117	16.4%
n	1498562	12.2%
e	1021645	8.3%
s	1001767	8.2%
i	499196	4.1%
b	17964	0.1%
l	16856	0.1%
Other values (33)	79159	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	613	66.3%
/	155	16.8%
:	46	5.0%
*	19	2.1%
@	15	1.6%
#	13	1.4%
'	10	1.1%
&	9	1.0%
§	9	1.0%
•	7	0.8%
Other values (11)	28	3.0%

Decimal Number

Value	Count	Frequency (%)
0	837	23.8%
1	536	15.2%
5	512	14.5%
2	404	11.5%
3	317	9.0%
4	231	6.6%
6	197	5.6%
8	186	5.3%
7	170	4.8%
9	134	3.8%

Open Punctuation

Value	Count	Frequency (%)
(	128	87.7%
‚	13	8.9%
„	3	2.1%
{	1	0.7%
[	1	0.7%

Math Symbol

Value	Count	Frequency (%)
±	32	71.1%
¬	7	15.6%
+	3	6.7%
=	2	4.4%
~	1	2.2%

Other Symbol

Value	Count	Frequency (%)
¦	18	46.2%
№	12	30.8%
™	4	10.3%
®	4	10.3%
©	1	2.6%

Initial Punctuation

Value	Count	Frequency (%)
“	6	42.9%
‘	4	28.6%
«	3	21.4%
‹	1	7.1%

Close Punctuation

Value	Count	Frequency (%)
)	126	98.4%
]	1	0.8%
}	1	0.8%

Final Punctuation

Value	Count	Frequency (%)
’	24	77.4%
”	5	16.1%
›	2	6.5%

Currency Symbol

Value	Count	Frequency (%)
¤	21	72.4%
€	5	17.2%
$	3	10.3%

Space Separator

Value	Count	Frequency (%)
	2044440	> 99.9%
	5	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	308	99.7%
–	1	0.3%

Control

Value	Count	Frequency (%)
	23	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8	100.0%

Format

Value	Count	Frequency (%)
	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14309985	87.5%
Common	2049672	12.5%
Cyrillic	434	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
	2044440	99.7%
0	837	< 0.1%
.	613	< 0.1%
1	536	< 0.1%
5	512	< 0.1%
2	404	< 0.1%
3	317	< 0.1%
-	308	< 0.1%
4	231	< 0.1%
6	197	< 0.1%
Other values (56)	1277	0.1%

Latin

Value	Count	Frequency (%)
a	2071118	14.5%
d	2036339	14.2%
r	2014374	14.1%
h	2012117	14.1%
n	1498562	10.5%
e	1021645	7.1%
A	1009549	7.1%
s	1001767	7.0%
P	999424	7.0%
i	499196	3.5%
Other values (42)	145894	1.0%

Cyrillic

Value	Count	Frequency (%)
џ	47	10.8%
р	45	10.4%
О	36	8.3%
а	33	7.6%
Г	31	7.1%
в	26	6.0%
ё	19	4.4%
Ш	18	4.1%
С	18	4.1%
Џ	14	3.2%
Other values (30)	147	33.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16359426	> 99.9%
Cyrillic	434	< 0.1%
None	135	< 0.1%
Punctuation	75	< 0.1%
Letterlike Symbols	16	< 0.1%
Currency Symbols	5	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2071118	12.7%
	2044440	12.5%
d	2036339	12.4%
r	2014374	12.3%
h	2012117	12.3%
n	1498562	9.2%
e	1021645	6.2%
A	1009549	6.2%
s	1001767	6.1%
P	999424	6.1%
Other values (78)	650091	4.0%

Cyrillic

Value	Count	Frequency (%)
џ	47	10.8%
р	45	10.4%
О	36	8.3%
а	33	7.6%
Г	31	7.1%
в	26	6.0%
ё	19	4.4%
Ш	18	4.1%
С	18	4.1%
Џ	14	3.2%
Other values (30)	147	33.9%

None

Value	Count	Frequency (%)
±	32	23.7%
	23	17.0%
¤	21	15.6%
¦	18	13.3%
§	9	6.7%
	7	5.2%
¬	7	5.2%
	5	3.7%
¶	4	3.0%
®	4	3.0%
Other values (3)	5	3.7%

Punctuation

Value	Count	Frequency (%)
’	24	32.0%
‚	13	17.3%
•	7	9.3%
“	6	8.0%
”	5	6.7%
‘	4	5.3%
‰	3	4.0%
‡	3	4.0%
„	3	4.0%
†	2	2.7%
Other values (4)	5	6.7%

Letterlike Symbols

Value	Count	Frequency (%)
№	12	75.0%
™	4	25.0%

Currency Symbols

Value	Count	Frequency (%)
€	5	100.0%

JobTitle
Text

MISSING

Distinct	6469
Distinct (%)	20.5%
Missing	1017036
Missing (%)	97.0%
Memory size	8.0 MiB

Length

Max length	100
Median length	79
Mean length	9.5300739
Min length	1

Characters and Unicode

Total characters	300569
Distinct characters	166
Distinct categories	17 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5261 ?
Unique (%)	16.7%

Sample

1st row	Andhra Pradesh proddatur
2nd row	India New Delhi
3rd row	500052
4th row	in
5th row	Andhra Pradesh

Value	Count	Frequency (%)
in	9922	21.6%
gujarat	9411	20.5%
pradesh	4313	9.4%
andhra	4298	9.3%
india	1790	3.9%
hyderabad	1428	3.1%
vijayawada	310	0.7%
warangal	186	0.4%
karimnagar	169	0.4%
bangalore	167	0.4%
Other values (5772)	13991	30.4%

Most occurring characters

Value	Count	Frequency (%)
	43768	14.6%
a	43685	14.5%
r	24928	8.3%
n	20806	6.9%
i	16604	5.5%
d	15989	5.3%
t	12952	4.3%
u	11901	4.0%
e	10987	3.7%
h	10822	3.6%
Other values (156)	88127	29.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	208363	69.3%
Space Separator	43775	14.6%
Uppercase Letter	32192	10.7%
Decimal Number	14845	4.9%
Other Punctuation	843	0.3%
Open Punctuation	83	< 0.1%
Close Punctuation	72	< 0.1%
Dash Punctuation	70	< 0.1%
Control	66	< 0.1%
Currency Symbol	56	< 0.1%
Other values (7)	204	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
G	9735	30.2%
A	5265	16.4%
P	4748	14.7%
I	2123	6.6%
H	1801	5.6%
S	838	2.6%
M	743	2.3%
N	658	2.0%
C	602	1.9%
T	591	1.8%
Other values (44)	5088	15.8%

Lowercase Letter

Value	Count	Frequency (%)
a	43685	21.0%
r	24928	12.0%
n	20806	10.0%
i	16604	8.0%
d	15989	7.7%
t	12952	6.2%
u	11901	5.7%
e	10987	5.3%
h	10822	5.2%
j	10000	4.8%
Other values (37)	29689	14.2%

Other Punctuation

Value	Count	Frequency (%)
.	577	68.4%
@	47	5.6%
'	37	4.4%
&	35	4.2%
*	28	3.3%
/	24	2.8%
#	19	2.3%
?	15	1.8%
•	13	1.5%
!	11	1.3%
Other values (10)	37	4.4%

Decimal Number

Value	Count	Frequency (%)
0	4147	27.9%
5	2978	20.1%
1	1792	12.1%
2	1642	11.1%
3	1371	9.2%
4	829	5.6%
6	645	4.3%
7	584	3.9%
8	506	3.4%
9	351	2.4%

Other Symbol

Value	Count	Frequency (%)
™	21	47.7%
¦	9	20.5%
®	6	13.6%
©	5	11.4%
№	3	6.8%

Open Punctuation

Value	Count	Frequency (%)
(	70	84.3%
„	7	8.4%
‚	5	6.0%
{	1	1.2%

Final Punctuation

Value	Count	Frequency (%)
’	21	47.7%
”	15	34.1%
›	6	13.6%
»	2	4.5%

Initial Punctuation

Value	Count	Frequency (%)
“	20	37.0%
‘	18	33.3%
«	9	16.7%
‹	7	13.0%

Math Symbol

Value	Count	Frequency (%)
±	16	80.0%
¬	2	10.0%
~	1	5.0%
+	1	5.0%

Dash Punctuation

Value	Count	Frequency (%)
-	58	82.9%
–	7	10.0%
—	5	7.1%

Currency Symbol

Value	Count	Frequency (%)
¤	36	64.3%
$	19	33.9%
€	1	1.8%

Space Separator

Value	Count	Frequency (%)
	43768	> 99.9%
	7	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	71	98.6%
}	1	1.4%

Control

Value	Count	Frequency (%)
	66	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	37	100.0%

Modifier Symbol

Value	Count	Frequency (%)
^	4	100.0%

Format

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	239686	79.7%
Common	60015	20.0%
Cyrillic	868	0.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	43768	72.9%
0	4147	6.9%
5	2978	5.0%
1	1792	3.0%
2	1642	2.7%
3	1371	2.3%
4	829	1.4%
6	645	1.1%
7	584	1.0%
.	577	1.0%
Other values (56)	1682	2.8%

Latin

Value	Count	Frequency (%)
a	43685	18.2%
r	24928	10.4%
n	20806	8.7%
i	16604	6.9%
d	15989	6.7%
t	12952	5.4%
u	11901	5.0%
e	10987	4.6%
h	10822	4.5%
j	10000	4.2%
Other values (42)	61012	25.5%

Cyrillic

Value	Count	Frequency (%)
џ	151	17.4%
р	137	15.8%
Г	76	8.8%
в	60	6.9%
ђ	30	3.5%
Д	25	2.9%
а	23	2.6%
Џ	22	2.5%
Љ	21	2.4%
ё	21	2.4%
Other values (38)	302	34.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	299363	99.6%
Cyrillic	868	0.3%
None	170	0.1%
Punctuation	143	< 0.1%
Letterlike Symbols	24	< 0.1%
Currency Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	43768	14.6%
a	43685	14.6%
r	24928	8.3%
n	20806	7.0%
i	16604	5.5%
d	15989	5.3%
t	12952	4.3%
u	11901	4.0%
e	10987	3.7%
h	10822	3.6%
Other values (75)	86921	29.0%

Cyrillic

Value	Count	Frequency (%)
џ	151	17.4%
р	137	15.8%
Г	76	8.8%
в	60	6.9%
ђ	30	3.5%
Д	25	2.9%
а	23	2.6%
Џ	22	2.5%
Љ	21	2.4%
ё	21	2.4%
Other values (38)	302	34.8%

None

Value	Count	Frequency (%)
	66	38.8%
¤	36	21.2%
±	16	9.4%
«	9	5.3%
¦	9	5.3%
	7	4.1%
®	6	3.5%
§	6	3.5%
©	5	2.9%
¶	3	1.8%
Other values (5)	7	4.1%

Letterlike Symbols

Value	Count	Frequency (%)
™	21	87.5%
№	3	12.5%

Punctuation

Value	Count	Frequency (%)
’	21	14.7%
“	20	14.0%
‘	18	12.6%
”	15	10.5%
•	13	9.1%
†	7	4.9%
„	7	4.9%
–	7	4.9%
‹	7	4.9%
›	6	4.2%
Other values (5)	22	15.4%

Currency Symbols

Value	Count	Frequency (%)
€	1	100.0%

CompanyName
Text

MISSING

Distinct	6682
Distinct (%)	43.3%
Missing	1033131
Missing (%)	98.5%
Memory size	8.0 MiB

Length

Max length	64
Median length	54
Mean length	9.3054908
Min length	1

Characters and Unicode

Total characters	143714
Distinct characters	169
Distinct categories	17 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5747 ?
Unique (%)	37.2%

Sample

1st row	kadapa
2nd row	India
3rd row	Hyderabad
4th row	Tirupati
5th row	Karnataka

Value	Count	Frequency (%)
india	2283	10.3%
in	1892	8.6%
pradesh	1241	5.6%
andhra	1228	5.6%
hyderabad	572	2.6%
ltd	174	0.8%
student	157	0.7%
	135	0.6%
police	110	0.5%
bank	107	0.5%
Other values (6140)	14198	64.3%

Most occurring characters

Value	Count	Frequency (%)
a	16512	11.5%
	14749	10.3%
n	10576	7.4%
i	9852	6.9%
d	8758	6.1%
r	8496	5.9%
e	7608	5.3%
h	4651	3.2%
t	4643	3.2%
s	4399	3.1%
Other values (159)	53470	37.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	101384	70.5%
Uppercase Letter	24194	16.8%
Space Separator	14754	10.3%
Decimal Number	1904	1.3%
Other Punctuation	1010	0.7%
Dash Punctuation	75	0.1%
Open Punctuation	73	0.1%
Control	55	< 0.1%
Other Symbol	48	< 0.1%
Close Punctuation	42	< 0.1%
Other values (7)	175	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	3156	13.0%
A	2842	11.7%
P	2343	9.7%
S	1904	7.9%
H	1324	5.5%
C	1149	4.7%
T	1082	4.5%
M	1073	4.4%
R	904	3.7%
N	900	3.7%
Other values (44)	7517	31.1%

Lowercase Letter

Value	Count	Frequency (%)
a	16512	16.3%
n	10576	10.4%
i	9852	9.7%
d	8758	8.6%
r	8496	8.4%
e	7608	7.5%
h	4651	4.6%
t	4643	4.6%
s	4399	4.3%
o	4067	4.0%
Other values (35)	21822	21.5%

Other Punctuation

Value	Count	Frequency (%)
.	678	67.1%
&	103	10.2%
*	40	4.0%
'	40	4.0%
@	30	3.0%
/	21	2.1%
?	21	2.1%
:	13	1.3%
•	11	1.1%
§	9	0.9%
Other values (9)	44	4.4%

Decimal Number

Value	Count	Frequency (%)
0	474	24.9%
5	303	15.9%
1	231	12.1%
2	227	11.9%
3	183	9.6%
4	125	6.6%
7	104	5.5%
9	91	4.8%
6	90	4.7%
8	76	4.0%

Math Symbol

Value	Count	Frequency (%)
±	14	40.0%
\|	8	22.9%
=	4	11.4%
¬	4	11.4%
~	2	5.7%
<	1	2.9%
>	1	2.9%
+	1	2.9%

Open Punctuation

Value	Count	Frequency (%)
(	38	52.1%
‚	22	30.1%
„	8	11.0%
{	3	4.1%
[	2	2.7%

Other Symbol

Value	Count	Frequency (%)
™	21	43.8%
№	9	18.8%
®	7	14.6%
¦	6	12.5%
©	5	10.4%

Final Punctuation

Value	Count	Frequency (%)
’	28	71.8%
”	9	23.1%
›	1	2.6%
»	1	2.6%

Initial Punctuation

Value	Count	Frequency (%)
‘	18	60.0%
‹	6	20.0%
“	4	13.3%
«	2	6.7%

Dash Punctuation

Value	Count	Frequency (%)
-	56	74.7%
–	13	17.3%
—	6	8.0%

Close Punctuation

Value	Count	Frequency (%)
)	37	88.1%
}	3	7.1%
]	2	4.8%

Currency Symbol

Value	Count	Frequency (%)
¤	28	70.0%
$	6	15.0%
€	6	15.0%

Space Separator

Value	Count	Frequency (%)
	14749	> 99.9%
	5	< 0.1%

Control

Value	Count	Frequency (%)
	55	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	20	100.0%

Format

Value	Count	Frequency (%)
	10	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	124806	86.8%
Common	18136	12.6%
Cyrillic	772	0.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
	14749	81.3%
.	678	3.7%
0	474	2.6%
5	303	1.7%
1	231	1.3%
2	227	1.3%
3	183	1.0%
4	125	0.7%
7	104	0.6%
&	103	0.6%
Other values (60)	959	5.3%

Latin

Value	Count	Frequency (%)
a	16512	13.2%
n	10576	8.5%
i	9852	7.9%
d	8758	7.0%
r	8496	6.8%
e	7608	6.1%
h	4651	3.7%
t	4643	3.7%
s	4399	3.5%
o	4067	3.3%
Other values (42)	45244	36.3%

Cyrillic

Value	Count	Frequency (%)
џ	110	14.2%
р	101	13.1%
в	79	10.2%
Г	63	8.2%
Џ	33	4.3%
ё	29	3.8%
п	21	2.7%
С	18	2.3%
а	18	2.3%
О	16	2.1%
Other values (37)	284	36.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	142604	99.2%
Cyrillic	772	0.5%
Punctuation	153	0.1%
None	149	0.1%
Letterlike Symbols	30	< 0.1%
Currency Symbols	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	16512	11.6%
	14749	10.3%
n	10576	7.4%
i	9852	6.9%
d	8758	6.1%
r	8496	6.0%
e	7608	5.3%
h	4651	3.3%
t	4643	3.3%
s	4399	3.1%
Other values (81)	52360	36.7%

Cyrillic

Value	Count	Frequency (%)
џ	110	14.2%
р	101	13.1%
в	79	10.2%
Г	63	8.2%
Џ	33	4.3%
ё	29	3.8%
п	21	2.7%
С	18	2.3%
а	18	2.3%
О	16	2.1%
Other values (37)	284	36.8%

None

Value	Count	Frequency (%)
	55	36.9%
¤	28	18.8%
±	14	9.4%
	10	6.7%
§	9	6.0%
®	7	4.7%
¦	6	4.0%
©	5	3.4%
	5	3.4%
¬	4	2.7%
Other values (3)	6	4.0%

Punctuation

Value	Count	Frequency (%)
’	28	18.3%
‚	22	14.4%
‘	18	11.8%
–	13	8.5%
•	11	7.2%
†	9	5.9%
”	9	5.9%
„	8	5.2%
‡	8	5.2%
‹	6	3.9%
Other values (5)	21	13.7%

Letterlike Symbols

Value	Count	Frequency (%)
™	21	70.0%
№	9	30.0%

Currency Symbols

Value	Count	Frequency (%)
€	6	100.0%

Email
Text

MISSING

Distinct	258435
Distinct (%)	97.2%
Missing	782691
Missing (%)	74.6%
Memory size	8.0 MiB

Length

Max length	52
Median length	45
Mean length	23.463988
Min length	1

Characters and Unicode

Total characters	6238699
Distinct characters	117
Distinct categories	16 ?
Distinct scripts	3 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	257384 ?
Unique (%)	96.8%

Sample

1st row	shekarchinnu749@gmail.com
2nd row	subbaramireddy0@gmail.com
3rd row	thativenkatesh2000@gmail.com
4th row	manibhararth@gmail.com
5th row	Andhra Pradesh

Value	Count	Frequency (%)
in	5423	2.0%
pradesh	511	0.2%
andhra	510	0.2%
hyderabad	74	< 0.1%
abc@gmail.com	37	< 0.1%
student	35	< 0.1%
india	34	< 0.1%
ltd	27	< 0.1%
	22	< 0.1%
bank	21	< 0.1%
Other values (258541)	260538	97.5%

Most occurring characters

Value	Count	Frequency (%)
a	848680	13.6%
m	634170	10.2%
i	483816	7.8%
l	360307	5.8%
o	341022	5.5%
.	305817	4.9%
g	300173	4.8%
c	290561	4.7%
@	258469	4.1%
r	228923	3.7%
Other values (107)	2186761	35.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5093759	81.6%
Other Punctuation	564339	9.0%
Decimal Number	554687	8.9%
Uppercase Letter	16044	0.3%
Space Separator	7682	0.1%
Connector Punctuation	1954	< 0.1%
Dash Punctuation	169	< 0.1%
Close Punctuation	13	< 0.1%
Open Punctuation	12	< 0.1%
Math Symbol	11	< 0.1%
Other values (6)	29	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	2081	13.0%
S	1678	10.5%
R	1211	7.5%
P	1183	7.4%
M	1174	7.3%
G	1012	6.3%
N	848	5.3%
K	738	4.6%
I	634	4.0%
C	609	3.8%
Other values (28)	4876	30.4%

Lowercase Letter

Value	Count	Frequency (%)
a	848680	16.7%
m	634170	12.4%
i	483816	9.5%
l	360307	7.1%
o	341022	6.7%
g	300173	5.9%
c	290561	5.7%
r	228923	4.5%
n	214377	4.2%
h	196704	3.9%
Other values (27)	1195026	23.5%

Other Punctuation

Value	Count	Frequency (%)
.	305817	54.2%
@	258469	45.8%
&	22	< 0.1%
!	10	< 0.1%
'	8	< 0.1%
*	5	< 0.1%
:	2	< 0.1%
/	2	< 0.1%
¶	1	< 0.1%
§	1	< 0.1%
Other values (2)	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	83164	15.0%
9	70252	12.7%
2	64631	11.7%
0	61262	11.0%
3	54000	9.7%
7	50558	9.1%
4	46312	8.3%
8	43612	7.9%
5	40637	7.3%
6	40259	7.3%

Math Symbol

Value	Count	Frequency (%)
¬	4	36.4%
±	4	36.4%
+	2	18.2%
\|	1	9.1%

Final Punctuation

Value	Count	Frequency (%)
’	6	66.7%
”	2	22.2%
›	1	11.1%

Dash Punctuation

Value	Count	Frequency (%)
-	168	99.4%
–	1	0.6%

Currency Symbol

Value	Count	Frequency (%)
$	4	80.0%
¤	1	20.0%

Initial Punctuation

Value	Count	Frequency (%)
«	4	80.0%
‘	1	20.0%

Space Separator

Value	Count	Frequency (%)
	7682	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1954	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	13	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	100.0%

Control

Value	Count	Frequency (%)
	5	100.0%

Other Symbol

Value	Count	Frequency (%)
™	3	100.0%

Format

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5109713	81.9%
Common	1128896	18.1%
Cyrillic	90	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	848680	16.6%
m	634170	12.4%
i	483816	9.5%
l	360307	7.1%
o	341022	6.7%
g	300173	5.9%
c	290561	5.7%
r	228923	4.5%
n	214377	4.2%
h	196704	3.8%
Other values (42)	1210980	23.7%

Common

Value	Count	Frequency (%)
.	305817	27.1%
@	258469	22.9%
1	83164	7.4%
9	70252	6.2%
2	64631	5.7%
0	61262	5.4%
3	54000	4.8%
7	50558	4.5%
4	46312	4.1%
8	43612	3.9%
Other values (32)	90819	8.0%

Cyrillic

Value	Count	Frequency (%)
џ	18	20.0%
р	15	16.7%
Д	10	11.1%
Г	5	5.6%
Ќ	5	5.6%
Џ	4	4.4%
Е	4	4.4%
Ђ	3	3.3%
а	3	3.3%
О	3	3.3%
Other values (13)	20	22.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6238572	> 99.9%
Cyrillic	90	< 0.1%
None	22	< 0.1%
Punctuation	12	< 0.1%
Letterlike Symbols	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	848680	13.6%
m	634170	10.2%
i	483816	7.8%
l	360307	5.8%
o	341022	5.5%
.	305817	4.9%
g	300173	4.8%
c	290561	4.7%
@	258469	4.1%
r	228923	3.7%
Other values (69)	2186634	35.1%

Cyrillic

Value	Count	Frequency (%)
џ	18	20.0%
р	15	16.7%
Д	10	11.1%
Г	5	5.6%
Ќ	5	5.6%
Џ	4	4.4%
Е	4	4.4%
Ђ	3	3.3%
а	3	3.3%
О	3	3.3%
Other values (13)	20	22.2%

Punctuation

Value	Count	Frequency (%)
’	6	50.0%
”	2	16.7%
‘	1	8.3%
›	1	8.3%
–	1	8.3%
•	1	8.3%

None

Value	Count	Frequency (%)
	5	22.7%
¬	4	18.2%
±	4	18.2%
«	4	18.2%
	2	9.1%
¤	1	4.5%
¶	1	4.5%
§	1	4.5%

Letterlike Symbols

Value	Count	Frequency (%)
™	3	100.0%

Facebook
Text

MISSING

Distinct	16176
Distinct (%)	83.5%
Missing	1029196
Missing (%)	98.2%
Memory size	8.0 MiB

Length

Max length	173
Median length	11
Mean length	11.663192
Min length	1

Characters and Unicode

Total characters	226021
Distinct characters	126
Distinct categories	15 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15896 ?
Unique (%)	82.0%

Sample

1st row	1.54118E+15
2nd row	5.27008E+14
3rd row	Tours&travels
4th row	1.00003E+14
5th row	5.42543E+14

Value	Count	Frequency (%)
in	645	3.2%
1.00002e+14	440	2.2%
1.00001e+14	432	2.1%
1.00003e+14	368	1.8%
1.00004e+14	251	1.2%
1e+14	181	0.9%
1.00005e+14	174	0.9%
1.00006e+14	140	0.7%
1.00007e+14	111	0.5%
1.00008e+14	90	0.4%
Other values (16459)	17488	86.1%

Most occurring characters

Value	Count	Frequency (%)
1	32225	14.3%
4	21267	9.4%
.	17253	7.6%
E	15572	6.9%
+	15416	6.8%
0	14688	6.5%
2	11732	5.2%
5	10906	4.8%
3	8685	3.8%
6	8343	3.7%
Other values (116)	69934	30.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	130437	57.7%
Lowercase Letter	41131	18.2%
Other Punctuation	18803	8.3%
Uppercase Letter	18480	8.2%
Math Symbol	15419	6.8%
Space Separator	1678	0.7%
Open Punctuation	15	< 0.1%
Connector Punctuation	12	< 0.1%
Close Punctuation	10	< 0.1%
Other Symbol	9	< 0.1%
Other values (5)	27	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	15572	84.3%
S	303	1.6%
A	254	1.4%
I	193	1.0%
C	189	1.0%
P	182	1.0%
R	168	0.9%
M	158	0.9%
T	154	0.8%
L	151	0.8%
Other values (32)	1156	6.3%

Lowercase Letter

Value	Count	Frequency (%)
a	5961	14.5%
i	4179	10.2%
m	3920	9.5%
o	2750	6.7%
n	2613	6.4%
l	2551	6.2%
r	2067	5.0%
c	2064	5.0%
e	1990	4.8%
g	1967	4.8%
Other values (29)	11069	26.9%

Other Punctuation

Value	Count	Frequency (%)
.	17253	91.8%
@	1457	7.7%
/	48	0.3%
&	16	0.1%
:	10	0.1%
'	6	< 0.1%
§	5	< 0.1%
*	2	< 0.1%
†	2	< 0.1%
•	2	< 0.1%
Other values (2)	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	32225	24.7%
4	21267	16.3%
0	14688	11.3%
2	11732	9.0%
5	10906	8.4%
3	8685	6.7%
6	8343	6.4%
7	7645	5.9%
9	7520	5.8%
8	7426	5.7%

Math Symbol

Value	Count	Frequency (%)
+	15416	> 99.9%
±	2	< 0.1%
=	1	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	10	66.7%
‚	4	26.7%
„	1	6.7%

Other Symbol

Value	Count	Frequency (%)
¦	6	66.7%
™	2	22.2%
®	1	11.1%

Currency Symbol

Value	Count	Frequency (%)
$	3	60.0%
€	1	20.0%
¤	1	20.0%

Space Separator

Value	Count	Frequency (%)
	1677	99.9%
	1	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	7	87.5%
–	1	12.5%

Initial Punctuation

Value	Count	Frequency (%)
‘	5	71.4%
‹	2	28.6%

Final Punctuation

Value	Count	Frequency (%)
’	1	50.0%
”	1	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	10	100.0%

Control

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	166410	73.6%
Latin	59500	26.3%
Cyrillic	111	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	15572	26.2%
a	5961	10.0%
i	4179	7.0%
m	3920	6.6%
o	2750	4.6%
n	2613	4.4%
l	2551	4.3%
r	2067	3.5%
c	2064	3.5%
e	1990	3.3%
Other values (42)	15833	26.6%

Common

Value	Count	Frequency (%)
1	32225	19.4%
4	21267	12.8%
.	17253	10.4%
+	15416	9.3%
0	14688	8.8%
2	11732	7.1%
5	10906	6.6%
3	8685	5.2%
6	8343	5.0%
7	7645	4.6%
Other values (35)	18250	11.0%

Cyrillic

Value	Count	Frequency (%)
Г	18	16.2%
џ	13	11.7%
Е	10	9.0%
р	10	9.0%
а	6	5.4%
в	5	4.5%
Љ	4	3.6%
Ш	4	3.6%
Щ	3	2.7%
Ї	3	2.7%
Other values (19)	35	31.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	225866	99.9%
Cyrillic	111	< 0.1%
None	21	< 0.1%
Punctuation	20	< 0.1%
Letterlike Symbols	2	< 0.1%
Currency Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	32225	14.3%
4	21267	9.4%
.	17253	7.6%
E	15572	6.9%
+	15416	6.8%
0	14688	6.5%
2	11732	5.2%
5	10906	4.8%
3	8685	3.8%
6	8343	3.7%
Other values (68)	69779	30.9%

Cyrillic

Value	Count	Frequency (%)
Г	18	16.2%
џ	13	11.7%
Е	10	9.0%
р	10	9.0%
а	6	5.4%
в	5	4.5%
Љ	4	3.6%
Ш	4	3.6%
Щ	3	2.7%
Ї	3	2.7%
Other values (19)	35	31.5%

None

Value	Count	Frequency (%)
¦	6	28.6%
§	5	23.8%
	5	23.8%
±	2	9.5%
®	1	4.8%
	1	4.8%
¤	1	4.8%

Punctuation

Value	Count	Frequency (%)
‘	5	25.0%
‚	4	20.0%
‹	2	10.0%
†	2	10.0%
•	2	10.0%
’	1	5.0%
„	1	5.0%
–	1	5.0%
”	1	5.0%
‡	1	5.0%

Letterlike Symbols

Value	Count	Frequency (%)
™	2	100.0%

Currency Symbols

Value	Count	Frequency (%)
€	1	100.0%

Twitter
Text

MISSING

Distinct	6731
Distinct (%)	85.6%
Missing	1040714
Missing (%)	99.3%
Memory size	8.0 MiB

Length

Max length	57
Median length	43
Mean length	18.335581
Min length	1

Characters and Unicode

Total characters	144136
Distinct characters	82
Distinct categories	12 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6691 ?
Unique (%)	85.1%

Sample

1st row	mdsaifuddin5732@gmail.com
2nd row	1.00001E+14
3rd row	j.ravikumar2217@gmail.com
4th row	devarajag93@gmail.com
5th row	maheshpushpa1992@gmail.com

Value	Count	Frequency (%)
1.00002e+14	224	2.8%
1.00001e+14	207	2.6%
1.00003e+14	171	2.1%
1.00004e+14	118	1.5%
in	80	1.0%
1.00007e+14	70	0.9%
1.00005e+14	68	0.8%
1e+14	59	0.7%
1.00006e+14	55	0.7%
1.00008e+14	47	0.6%
Other values (6837)	6969	86.4%

Most occurring characters

Value	Count	Frequency (%)
a	14733	10.2%
m	11004	7.6%
i	8414	5.8%
.	8383	5.8%
1	7249	5.0%
o	6442	4.5%
l	6196	4.3%
0	5934	4.1%
c	5295	3.7%
g	5132	3.6%
Other values (72)	65354	45.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	91503	63.5%
Decimal Number	32943	22.9%
Other Punctuation	12939	9.0%
Uppercase Letter	3555	2.5%
Math Symbol	2765	1.9%
Space Separator	323	0.2%
Connector Punctuation	94	0.1%
Dash Punctuation	6	< 0.1%
Currency Symbol	3	< 0.1%
Open Punctuation	3	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	14733	16.1%
m	11004	12.0%
i	8414	9.2%
o	6442	7.0%
l	6196	6.8%
c	5295	5.8%
g	5132	5.6%
r	4317	4.7%
n	3962	4.3%
h	3759	4.1%
Other values (17)	22249	24.3%

Uppercase Letter

Value	Count	Frequency (%)
E	2797	78.7%
S	92	2.6%
A	85	2.4%
R	57	1.6%
P	53	1.5%
M	50	1.4%
C	40	1.1%
I	38	1.1%
T	36	1.0%
N	35	1.0%
Other values (17)	272	7.7%

Decimal Number

Value	Count	Frequency (%)
1	7249	22.0%
0	5934	18.0%
4	4088	12.4%
5	2674	8.1%
2	2511	7.6%
9	2324	7.1%
3	2169	6.6%
7	2039	6.2%
8	1994	6.1%
6	1961	6.0%

Other Punctuation

Value	Count	Frequency (%)
.	8383	64.8%
@	4517	34.9%
/	25	0.2%
:	8	0.1%
&	3	< 0.1%
'	2	< 0.1%
#	1	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	1	33.3%
‚	1	33.3%
„	1	33.3%

Math Symbol

Value	Count	Frequency (%)
+	2764	> 99.9%
=	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	323	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	94	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	95051	65.9%
Common	49078	34.0%
Cyrillic	7	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	14733	15.5%
m	11004	11.6%
i	8414	8.9%
o	6442	6.8%
l	6196	6.5%
c	5295	5.6%
g	5132	5.4%
r	4317	4.5%
n	3962	4.2%
h	3759	4.0%
Other values (41)	25797	27.1%

Common

Value	Count	Frequency (%)
.	8383	17.1%
1	7249	14.8%
0	5934	12.1%
@	4517	9.2%
4	4088	8.3%
+	2764	5.6%
5	2674	5.4%
2	2511	5.1%
9	2324	4.7%
3	2169	4.4%
Other values (18)	6465	13.2%

Cyrillic

Value	Count	Frequency (%)
Г	5	71.4%
ђ	1	14.3%
Њ	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	144126	> 99.9%
Cyrillic	7	< 0.1%
Punctuation	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	14733	10.2%
m	11004	7.6%
i	8414	5.8%
.	8383	5.8%
1	7249	5.0%
o	6442	4.5%
l	6196	4.3%
0	5934	4.1%
c	5295	3.7%
g	5132	3.6%
Other values (66)	65344	45.3%

Cyrillic

Value	Count	Frequency (%)
Г	5	71.4%
ђ	1	14.3%
Њ	1	14.3%

Punctuation

Value	Count	Frequency (%)
‚	1	33.3%
‘	1	33.3%
„	1	33.3%

Unnamed: 10
Text

MISSING

Distinct	124
Distinct (%)	0.9%
Missing	1035163
Missing (%)	98.7%
Memory size	8.0 MiB

Length

Max length	23
Median length	22
Mean length	2.4480316
Min length	1

Characters and Unicode

Total characters	32833
Distinct characters	57
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	107 ?
Unique (%)	0.8%

Sample

1st row	user
2nd row	0.9
3rd row	0.9
4th row	0
5th row	0

Value	Count	Frequency (%)
0	6610	49.5%
0.9	3883	29.1%
user	2117	15.9%
verified	551	4.1%
college	20	0.1%
premium	7	0.1%
university	7	0.1%
construction	4	< 0.1%
mechanic	3	< 0.1%
service	3	< 0.1%
Other values (125)	138	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	10634	32.4%
.	3967	12.1%
9	3920	11.9%
e	3319	10.1%
r	2718	8.3%
s	2152	6.6%
u	2136	6.5%
i	1174	3.6%
v	568	1.7%
d	559	1.7%
Other values (47)	1686	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15018	45.7%
Lowercase Letter	13638	41.5%
Other Punctuation	3973	12.1%
Space Separator	109	0.3%
Uppercase Letter	86	0.3%
Math Symbol	7	< 0.1%
Dash Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3319	24.3%
r	2718	19.9%
s	2152	15.8%
u	2136	15.7%
i	1174	8.6%
v	568	4.2%
d	559	4.1%
f	555	4.1%
n	71	0.5%
l	70	0.5%
Other values (14)	316	2.3%

Uppercase Letter

Value	Count	Frequency (%)
C	27	31.4%
E	12	14.0%
U	7	8.1%
M	6	7.0%
F	4	4.7%
T	4	4.7%
H	4	4.7%
I	4	4.7%
L	3	3.5%
P	3	3.5%
Other values (6)	12	14.0%

Decimal Number

Value	Count	Frequency (%)
0	10634	70.8%
9	3920	26.1%
3	106	0.7%
1	75	0.5%
4	54	0.4%
6	52	0.3%
5	52	0.3%
2	45	0.3%
8	41	0.3%
7	39	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	3967	99.8%
&	3	0.1%
@	2	0.1%
/	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	109	100.0%

Math Symbol

Value	Count	Frequency (%)
+	7	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	19109	58.2%
Latin	13724	41.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3319	24.2%
r	2718	19.8%
s	2152	15.7%
u	2136	15.6%
i	1174	8.6%
v	568	4.1%
d	559	4.1%
f	555	4.0%
n	71	0.5%
l	70	0.5%
Other values (30)	402	2.9%

Common

Value	Count	Frequency (%)
0	10634	55.6%
.	3967	20.8%
9	3920	20.5%
	109	0.6%
3	106	0.6%
1	75	0.4%
4	54	0.3%
6	52	0.3%
5	52	0.3%
2	45	0.2%
Other values (7)	95	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32833	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10634	32.4%
.	3967	12.1%
9	3920	11.9%
e	3319	10.1%
r	2718	8.3%
s	2152	6.6%
u	2136	6.5%
i	1174	3.6%
v	568	1.7%
d	559	1.7%
Other values (47)	1686	5.1%

Unnamed: 11
Text

MISSING

Distinct	57
Distinct (%)	0.8%
Missing	1041161
Missing (%)	99.3%
Memory size	8.0 MiB

Length

Max length	30
Median length	1
Mean length	2.2379282
Min length	1

Characters and Unicode

Total characters	16592
Distinct characters	47
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45 ?
Unique (%)	0.6%

Sample

1st row	0.9
2nd row	0
3rd row	0
4th row	0.9
5th row	0

Value	Count	Frequency (%)
0	3948	53.6%
0.9	2371	32.2%
user	729	9.9%
verified	229	3.1%
premium	7	0.1%
services	3	< 0.1%
store	3	< 0.1%
andhra	3	< 0.1%
pradesh	3	< 0.1%
college	3	< 0.1%
Other values (57)	65	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	6380	38.5%
.	2401	14.5%
9	2385	14.4%
e	1240	7.5%
r	995	6.0%
s	746	4.5%
u	742	4.5%
i	485	2.9%
v	237	1.4%
d	237	1.4%
Other values (37)	744	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8956	54.0%
Lowercase Letter	5107	30.8%
Other Punctuation	2402	14.5%
Space Separator	93	0.6%
Uppercase Letter	32	0.2%
Math Symbol	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1240	24.3%
r	995	19.5%
s	746	14.6%
u	742	14.5%
i	485	9.5%
v	237	4.6%
d	237	4.6%
f	229	4.5%
n	25	0.5%
o	24	0.5%
Other values (12)	147	2.9%

Uppercase Letter

Value	Count	Frequency (%)
C	6	18.8%
P	5	15.6%
E	4	12.5%
M	4	12.5%
A	3	9.4%
U	2	6.2%
H	2	6.2%
G	2	6.2%
S	2	6.2%
I	1	3.1%

Decimal Number

Value	Count	Frequency (%)
0	6380	71.2%
9	2385	26.6%
3	44	0.5%
6	25	0.3%
7	25	0.3%
2	21	0.2%
5	21	0.2%
4	21	0.2%
1	20	0.2%
8	14	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	2401	> 99.9%
&	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	93	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11453	69.0%
Latin	5139	31.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1240	24.1%
r	995	19.4%
s	746	14.5%
u	742	14.4%
i	485	9.4%
v	237	4.6%
d	237	4.6%
f	229	4.5%
n	25	0.5%
o	24	0.5%
Other values (23)	179	3.5%

Common

Value	Count	Frequency (%)
0	6380	55.7%
.	2401	21.0%
9	2385	20.8%
	93	0.8%
3	44	0.4%
6	25	0.2%
7	25	0.2%
2	21	0.2%
5	21	0.2%
4	21	0.2%
Other values (4)	37	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16592	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6380	38.5%
.	2401	14.5%
9	2385	14.4%
e	1240	7.5%
r	995	6.0%
s	746	4.5%
u	742	4.5%
i	485	2.9%
v	237	1.4%
d	237	1.4%
Other values (37)	744	4.5%

Unnamed: 12
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	24
Distinct (%)	0.7%
Missing	1045043
Missing (%)	99.7%
Memory size	8.0 MiB

0	2396
0.9	757
user	255
verified	81
	22
Other values (19)	21

Length

Max length	22
Median length	1
Mean length	1.8544734
Min length	1

Characters and Unicode

Total characters	6550
Distinct characters	44
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	0.5%

Sample

1st row	0
2nd row	0
3rd row	0.9
4th row	0.9
5th row	0

Common Values

Value	Count	Frequency (%)
0	2396	0.2%
0.9	757	0.1%
user	255	< 0.1%
verified	81	< 0.1%
	22	< 0.1%
premium	3	< 0.1%
0.3117503	1	< 0.1%
Consulting	1	< 0.1%
18	1	< 0.1%
0.5491378	1	< 0.1%
Other values (14)	14	< 0.1%
(Missing)	1045043	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	2396	68.2%
0.9	757	21.5%
user	255	7.3%
verified	81	2.3%
premium	3	0.1%
and	1	< 0.1%
bank	1	< 0.1%
0.30825663	1	< 0.1%
0.312846	1	< 0.1%
technology	1	< 0.1%
Other values (16)	16	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	3166	48.3%
.	765	11.7%
9	759	11.6%
e	424	6.5%
r	345	5.3%
u	259	4.0%
s	259	4.0%
i	175	2.7%
d	84	1.3%
f	83	1.3%
Other values (34)	231	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3979	60.7%
Lowercase Letter	1768	27.0%
Other Punctuation	766	11.7%
Space Separator	25	0.4%
Uppercase Letter	9	0.1%
Math Symbol	1	< 0.1%
Dash Punctuation	1	< 0.1%
Connector Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	424	24.0%
r	345	19.5%
u	259	14.6%
s	259	14.6%
i	175	9.9%
d	84	4.8%
f	83	4.7%
v	82	4.6%
n	15	0.8%
m	8	0.5%
Other values (10)	34	1.9%

Decimal Number

Value	Count	Frequency (%)
0	3166	79.6%
9	759	19.1%
3	11	0.3%
7	8	0.2%
8	8	0.2%
1	7	0.2%
2	6	0.2%
4	6	0.2%
6	5	0.1%
5	3	0.1%

Uppercase Letter

Value	Count	Frequency (%)
M	2	22.2%
U	1	11.1%
T	1	11.1%
N	1	11.1%
E	1	11.1%
C	1	11.1%
I	1	11.1%
B	1	11.1%

Other Punctuation

Value	Count	Frequency (%)
.	765	99.9%
@	1	0.1%

Space Separator

Value	Count	Frequency (%)
	25	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4773	72.9%
Latin	1777	27.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	424	23.9%
r	345	19.4%
u	259	14.6%
s	259	14.6%
i	175	9.8%
d	84	4.7%
f	83	4.7%
v	82	4.6%
n	15	0.8%
m	8	0.5%
Other values (18)	43	2.4%

Common

Value	Count	Frequency (%)
0	3166	66.3%
.	765	16.0%
9	759	15.9%
	25	0.5%
3	11	0.2%
7	8	0.2%
8	8	0.2%
1	7	0.1%
2	6	0.1%
4	6	0.1%
Other values (6)	12	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6550	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3166	48.3%
.	765	11.7%
9	759	11.6%
e	424	6.5%
r	345	5.3%
u	259	4.0%
s	259	4.0%
i	175	2.7%
d	84	1.3%
f	83	1.3%
Other values (34)	231	3.5%

Unnamed: 13
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1047413
Missing (%)	99.9%
Memory size	8.0 MiB

Unnamed: 14
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048162
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 15
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048457
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 16
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048531
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 17
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048555
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 18
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048561
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 19
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048564
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 20
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048568
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 21
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048569
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 22
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048571
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 23
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048571
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 24
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048571
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 25
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048572
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 26
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	100.0%
Missing	1048574
Missing (%)	> 99.9%
Memory size	8.0 MiB

0.9	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	0.9

Common Values

Value	Count	Frequency (%)
0.9	1	< 0.1%
(Missing)	1048574	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.9	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1	33.3%
.	1	33.3%
9	1	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2	66.7%
Other Punctuation	1	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1	50.0%
9	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1	33.3%
.	1	33.3%
9	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1	33.3%
.	1	33.3%
9	1	33.3%

Unnamed: 27
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	100.0%
Missing	1048574
Missing (%)	> 99.9%
Memory size	8.0 MiB

0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1	< 0.1%
(Missing)	1048574	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2	66.7%
Other Punctuation	1	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Unnamed: 28
Text

CONSTANT MISSING

Distinct	1
Distinct (%)	100.0%
Missing	1048574
Missing (%)	> 99.9%
Memory size	8.0 MiB

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	4
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	user

Value	Count	Frequency (%)
user	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
u	1	25.0%
s	1	25.0%
e	1	25.0%
r	1	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	1	25.0%
s	1	25.0%
e	1	25.0%
r	1	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	1	25.0%
s	1	25.0%
e	1	25.0%
r	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	1	25.0%
s	1	25.0%
e	1	25.0%
r	1	25.0%

Unnamed: 29
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048573
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 30
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1048572
Missing (%)	> 99.9%
Memory size	8.0 MiB

Unnamed: 31
Categorical

HIGH CORRELATION MISSING UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	1048573
Missing (%)	> 99.9%
Memory size	8.0 MiB

0.9	1
0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	0.9
2nd row	0.0

Common Values

Value	Count	Frequency (%)
0.9	1	< 0.1%
0.0	1	< 0.1%
(Missing)	1048573	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.9	1	50.0%
0.0	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
0	3	50.0%
.	2	33.3%
9	1	16.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4	66.7%
Other Punctuation	2	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3	75.0%
9	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	6	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3	50.0%
.	2	33.3%
9	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3	50.0%
.	2	33.3%
9	1	16.7%

Unnamed: 32
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	100.0%
Missing	1048574
Missing (%)	> 99.9%
Memory size	8.0 MiB

0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1	< 0.1%
(Missing)	1048574	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2	66.7%
Other Punctuation	1	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Number

Number

Auto

Heatmap
Table

	Number	Unnamed: 12	Unnamed: 31
Number	1.000	0.052	1.000
Unnamed: 12	0.052	1.000	1.000
Unnamed: 31	1.000	1.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Number	Carrier	Name	Gender	Address	JobTitle	CompanyName	Email	Facebook	Twitter	Unnamed: 10	Unnamed: 11	Unnamed: 12	Unnamed: 13	Unnamed: 14	Unnamed: 15	Unnamed: 16	Unnamed: 17	Unnamed: 18	Unnamed: 19	Unnamed: 20	Unnamed: 21	Unnamed: 22	Unnamed: 23	Unnamed: 24	Unnamed: 25	Unnamed: 26	Unnamed: 27	Unnamed: 28	Unnamed: 29	Unnamed: 30	Unnamed: 31	Unnamed: 32
0	917032000911	Airtel	Raj Kumar. Mncl	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	917032001170	Airtel	Deva	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	917032001495	Airtel	Lakshay	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	917032001483	Airtel	Prathap	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	917032001471	Airtel	Shekar Chinnu	NaN	Andhra Pradesh in	NaN	NaN	shekarchinnu749@gmail.com	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	917032001466	Airtel	Subba Rami Reddy	NaN	Andhra Pradesh in	NaN	NaN	subbaramireddy0@gmail.com	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	917032001460	Airtel	Thati Venkatesh	NaN	Andhra Pradesh in	NaN	NaN	thativenkatesh2000@gmail.com	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	917032001445	Airtel	J S Anil	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	917032001438	Airtel	Sunitha	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	917032001435	Airtel	Vaiven Smiley	NaN	Andhra Pradesh in	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

	Number	Carrier	Name	Gender	Address	JobTitle	CompanyName	Email	Facebook	Twitter	Unnamed: 10	Unnamed: 11	Unnamed: 12	Unnamed: 13	Unnamed: 14	Unnamed: 15	Unnamed: 16	Unnamed: 17	Unnamed: 18	Unnamed: 19	Unnamed: 20	Unnamed: 21	Unnamed: 22	Unnamed: 23	Unnamed: 24	Unnamed: 25	Unnamed: 26	Unnamed: 27	Unnamed: 28	Unnamed: 29	Unnamed: 30	Unnamed: 31	Unnamed: 32
1048565	917995485166	Airtel	NaN	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1048566	917995485162	Airtel	Parameshwari Bzc	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1048567	917995485160	Airtel	Meshak Abraham	NaN	Andhra Pradesh in	NaN	NaN	abhiram6691@gmail.com	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1048568	917995485157	Airtel	Baby. Lx.	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1048569	917995485155	Airtel	Tailler	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1048570	917995485149	Airtel	Parameswari	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1048571	917995485148	Airtel	T.r.reddy4	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1048572	917995485142	Airtel	N Sures	NaN	Andhra Pradesh	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1048573	917995485139	Airtel	P P	NaN	Andhra Pradesh in	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1048574	917995485133	Airtel	Nani Nani	NaN	Andhra Pradesh in	NaN	NaN	naninani1199552@gmail.com	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Decimal Number

Math Symbol

Other Symbol

Open Punctuation

Initial Punctuation

Final Punctuation

Dash Punctuation

Currency Symbol

Close Punctuation

Space Separator

Modifier Symbol

Control

Connector Punctuation

Format

Most occurring scripts

Most frequent character per script

Common

Cyrillic

Latin

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

None

Punctuation

Letterlike Symbols

Currency Symbols

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Decimal Number

Other Symbol

Initial Punctuation

Currency Symbol

Open Punctuation

Space Separator

Dash Punctuation

Math Symbol

Control

Close Punctuation

Format

Final Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Cyrillic

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

None

Punctuation

Currency Symbols

Letterlike Symbols